ERIC Number: EJ749235
Record Type: Journal
Publication Date: 2006
Pages: 18
Abstractor: Author
ISBN: N/A
ISSN: ISSN-0027-3171
EISSN: N/A
Fitting Partially Nonlinear Random Coefficient Models as SEMs
Harring, Jeffrey R.; Cudeck, Robert; du Toit, Stephen H. C.
Multivariate Behavioral Research, v41 n4 p579-596 2006
The nonlinear random coefficient model has become increasingly popular as a method for describing individual differences in longitudinal research. Although promising, the nonlinear model it is not utilized as often as it might be because software options are still somewhat limited. In this article we show that a specialized version of the model can be fit to data using SEM software. The specialization is to a model in which the parameters that enter the function in a linear manner are random, whereas those that are nonlinear are common to all individuals. Although this kind of function is not as general as is the fully nonlinear model, it still is applicable to many different data sets. Two examples are presented to show how the models can be estimated using popular SEM computer programs.
Descriptors: Computer Software, Structural Equation Models, Individual Differences, Longitudinal Studies, Regression (Statistics), Computer Assisted Testing, Behavioral Science Research
Lawrence Erlbaum Associates, Inc. 10 Industrial Avenue, Mahwah, NJ 07430-2262. Tel: 800-926-6579; Tel: 201-258-2200; Fax: 201-236-0072; e-mail: journals@erlbaum.com; Web site: https://www.LEAonline.com
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A